Literature DB >> 30399026

Prognostic Value of Vascular Calcifications and Regional Fat Depots Derived From Conventional Chest Computed Tomography.

Gastón A Rodríguez-Granillo1, Exequiel Reynoso1, Carlos Capuñay1, Charalambos Antoniades2, Leslee J Shaw3, Patricia Carrascosa1.   

Abstract

PURPOSE: The prognostic value of vascular calcifications as well as of regional fat depots has been reported separately, in population-based studies, and using gated-computed tomography (CT) examinations. We, therefore, explored the interplay and prognostic value of vascular calcifications and adipose tissue depots assessed during conventional nongated chest CT.
MATERIALS AND METHODS: We enrolled a consecutive series of 1250 patients aged between 35 and 74 years who underwent clinically indicated chest CT scans. We measured the extent of coronary artery calcification (CAC) using the segment-involvement score (CACSIS), and aortic and valve calcification. Pericardial fat volume (PFV), hepatic fat, and abdominal subcutaneous adipose tissue were also calculated. Patients were followed-up for all-cause mortality.
RESULTS: A total of 577 (46%) patients had presence of CAC in the coronary tree. Over a mean follow-up of 3.7 years, 51 (4%) deaths occurred, 23 (4.1%) in male patients and 28 (4.1%) in female patients. Patients with higher PFV were older (P<0.0001), more frequently male (P<0.0001), had higher abdominal subcutaneous adipose tissue (P<0.0001), hepatic fat (P<0.0001), as well as a larger extent of CAC (P<0.0001), aortic calcium (P<0.0001), and valve calcium (P<0.0001). From a multivariable Cox regression model, age (hazard ratio [HR], 1.07; 95% confidence interval [CI], 1.03-1.11), P=0.001, PFV upper tertile (HR, 4.07; 95% CI, 2.09-7.92), P<0.0001, and CACSIS>5 (HR, 2.19; 95% CI, 1.14-4.23; P<0.0001) were independent predictors of all-cause death.
CONCLUSIONS: In this relatively large patient cohort undergoing clinically indicated conventional chest CT scans, PFV and coronary calcification were high-risk markers associated with worsening survival.

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Year:  2019        PMID: 30399026     DOI: 10.1097/RTI.0000000000000370

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN: 0883-5993            Impact factor:   3.000


  2 in total

Review 1.  Anatomical References to Evaluate Thoracic Aorta Calcium by Computed Tomography.

Authors:  Jesiana Ferreira Pedrosa; Sandhi Maria Barreto; Márcio Sommer Bittencourt; Antonio Luiz Pinho Ribeiro
Journal:  Curr Atheroscler Rep       Date:  2019-11-20       Impact factor: 5.113

2.  Greasing the Skids: Deep Learning for Fully Automated Quantification of Epicardial Fat.

Authors:  U Joseph Schoepf; Andres F Abadia
Journal:  Radiol Artif Intell       Date:  2019-11-27
  2 in total

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